#QUEUE ANYLOGIC ENABLE PREEMPTION HOW TO#This example shows how to do this, and also another way to run the model using the run(), waitForCompletion(), and getOutputs() functions. To see the progress of a simple experiment, you can make an indicator change color when an experiment is running by using the ModelRun.getProgress() function. #QUEUE ANYLOGIC ENABLE PREEMPTION CODE#You can also set up an alert in the developer console using the code below. If no results are found, or another error occurs, an error window appears (the catch block in the code). If results are found, they are displayed in the form of values Mean queue size and Server utilization (the then block in the code). After this, the simulation.getOutputs() command requests the result. The Server capacity parameter is passed by inputs and simulation starts the experiment. In the JavaScript window, the objects inputs and simulation are set. In the HTML window, a widget is setup to input a value for the Server capacity parameter. This example shows how this works, and also how to create a widget to configure experiment parameters directly from a web interface. If the inputs for an experiment run are the same, AnyLogic Cloud recalls the previous results, speeding up the new experiment and saving computing resources. Setting parameters using the interface and requesting experiment resultsĪll previous experiments along with input and results are stored in the cloud. If there are errors, a catch block is called that provides an error message to the console. If the experiment completes without errors, the finally block is called and the experiment start button becomes active. These are the values for Server capacity, Mean queue size, and Server utilization parameters. When the experiment is completed, the APIs of the Inputs and SingleRunOutputs objects are used to display the input and output data. Next, the getOutputsAndRunIfAbsent() command checks if the experiment has completed and displays data on the page. This deactivates the button and launches the following commands: select the latest version of the Service System Demo model, set the value of the Server capacity to 8, and create a simulation object with this input. This step is repeated in each example.Īfter clicking the button, the runSimulation() function is called. It allows you to connect to the host from which the API client is loaded. To start the experiment, add the code to the HTML and JavaScript page:Īs soon as the web page and scripts are loaded, a CloudClient object is created with the API key: e05a6efa-ea5f-4adf-b090-ae0ca7d16c20. This example shows how to programmatically find the desired model in the Cloud, set the input data, and run a simple experiment without animation. (header links lead to a detailed description) The model is located on our test account and you will connect to it via the API. It describes a maintenance process where you can set the capacity ( Server capacity), analyze the average size of the service queue ( Mean queue size parameter), and resource loading ( Server utilization parameter). These examples use the Service System Demo model. To connect to the cloud client located on our server, insert this script inside the : An HTML page that you can edit, or an online service for editing and running HTML and JavaScript code. #QUEUE ANYLOGIC ENABLE PREEMPTION TRIAL#A trial key is provided bellow and a fully functional key is available to users of commercial versions of AnyLogic Cloud. Here's what you need to get started with the JavaScript cloud API: You can follow the analysis and reproduce the examples for yourself. In this post, the focus is on analyzing the new features and trying out the examples. You can find out about these and other features in our previous blog. Using the API, you can configure and remotely run simulation models in the cloud, as well as create user interfaces for them ( here is an example interface). Along with the release of AnyLogic 8.5, came the new features of AnyLogic Cloud API 8.5.0.
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